AQTIS Bi-Weekly Quant Tech Update #2: AI Expert Onboarding & Portfolio Optimization
Welcome back to our regular bi-weekly Quant Tech update.
As much of the groundwork has been laid, we’re getting closer to the live-testing of our Quant Tech system. In the meantime, a lot of time is spent on improving our trading models.
Let’s jump into the update below.
📈 Enhanced Trend-Following Strategy
Our team has achieved a significant milestone in developing, backtesting, and optimizing our trend-following strategy across multiple assets. We’ve fine-tuned it to capture large movements on both sides of the market effectively.
Keep an eye out for the data release scheduled for the next few weeks.
🧠 Machine Learning Expert Joined Our Ranks
As announced earlier this week, we’ve been onboarding a new AI/Machine Learning specialist @The Analyst. His onboarding marks a significant enhancement in our approach to data analysis and strategy development. We’re gearing up to integrate new advanced machine learning models into our systems.
📊 Portfolio Optimization Model
We developed our first model for continuous portfolio optimization. This model allows us to fit the optimal weighting for every strategy within our portfolio, maximizing our efficiency and performance as market conditions change.
⚖️ Strategic Position Sizing
Alongside portfolio optimization, we’re developing a method for calculating the ideal position size for each asset. This will significantly enhance our risk management framework and optimize our overall market exposure.
🔄 Market Making & DEX MM Bot Research
In our quest to innovate, we have been conducting research on an AI and Quant Tech-Powered Market Making tool for $AQTIS and the creation of a DEX Market Maker bot.
Next Steps: Execution & Live System Focus
With these robust components in place, we’re poised to advance to the next phase. Our focus for the upcoming weeks will be on fine-tuning the execution and rolling out the live system for testing.
More questions?
As always, we’re happy to answer all your questions and suggestions and would love to hear your feedback, do let us know your thoughts in our Discord.
That’s all for now. Stay tuned for much more coming up and we’ll catch you in the next update.
